9781464175343-1464175349-The Practice of Statistics in the Life Sciences (Loose Leaf) & CrunchIt/EESEE Access Card (Budget Books)

The Practice of Statistics in the Life Sciences (Loose Leaf) & CrunchIt/EESEE Access Card (Budget Books)

ISBN-13: 9781464175343
ISBN-10: 1464175349
Edition: Third
Author: David S. Moore, Brigitte Baldi
Publication date: 2013
Publisher: W. H. Freeman
Format: Paperback 768 pages
Category: Mathematics
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Book details

ISBN-13: 9781464175343
ISBN-10: 1464175349
Edition: Third
Author: David S. Moore, Brigitte Baldi
Publication date: 2013
Publisher: W. H. Freeman
Format: Paperback 768 pages
Category: Mathematics

Summary

The Practice of Statistics in the Life Sciences (Loose Leaf) & CrunchIt/EESEE Access Card (Budget Books) (ISBN-13: 9781464175343 and ISBN-10: 1464175349), written by authors David S. Moore, Brigitte Baldi, was published by W. H. Freeman in 2013. With an overall rating of 3.8 stars, it's a notable title among other Mathematics books. You can easily purchase or rent The Practice of Statistics in the Life Sciences (Loose Leaf) & CrunchIt/EESEE Access Card (Budget Books) (Paperback) from BooksRun, along with many other new and used Mathematics books and textbooks. And, if you're looking to sell your copy, our current buyback offer is $0.3.

Description

Over the past two decades, David Moore’s texts helped drive the evolution of statistics education from a focus on computation and formulas to an emphasis on how data are actually collected, analyzed, and interpreted by professionals in real-world settings. Now Brigitte Baldi and David Moore have produced a version of Moore’s bestselling brief introductory text, The Basic Practice of Statistics for students in the life sciences.

With its focus on life science data sets, examples, and exercises, The Practice of Statistics in the Life Sciences (PSLS) features the writing style and helpful pedagogy that have helped hundreds of thousands of students see the meaning and relevance of real-world statistics in action. Life science, nursing and allied health students with limited mathematical backgrounds will be able to utilize the same fundamental tools, techniques, and interpretive skills working statisticians rely on everyday. Examples and exercises are drawn from diverse areas of biology such as physiology, brain and behavior, health and medicine, nutrition, ecology, and microbiology.

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